Directional Newton methods in $n$ variables
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- by Yuri Levin and Adi Ben-Israel;
- Math. Comp. 71 (2002), 251-262
- DOI: https://doi.org/10.1090/S0025-5718-01-01332-1
- Published electronically: May 17, 2001
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Abstract:
Directional Newton methods for functions $f$ of $n$ variables are shown to converge, under standard assumptions, to a solution of $f(\mathbf {x})=0$. The rate of convergence is quadratic, for near-gradient directions, and directions along components of the gradient of $f$ with maximal modulus. These methods are applied to solving systems of equations without inversion of the Jacobian matrix.References
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Bibliographic Information
- Yuri Levin
- Affiliation: RUTCOR–Rutgers Center for Operations Research, Rutgers University, 640 Bartholomew Rd, Piscataway, New Jersey 08854-8003
- Email: ylevin@rutcor.rutgers.edu
- Adi Ben-Israel
- Affiliation: RUTCOR–Rutgers Center for Operations Research, Rutgers University, 640 Bartholomew Rd, Piscataway, New Jersey 08854-8003
- MR Author ID: 34315
- Email: bisrael@rutcor.rutgers.edu
- Received by editor(s): October 27, 1999
- Received by editor(s) in revised form: May 15, 2000
- Published electronically: May 17, 2001
- Additional Notes: The first author was supported by the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS), Rutgers University
- © Copyright 2001 American Mathematical Society
- Journal: Math. Comp. 71 (2002), 251-262
- MSC (2000): Primary 65H05, 65H10; Secondary 49M15
- DOI: https://doi.org/10.1090/S0025-5718-01-01332-1
- MathSciNet review: 1862998